| Full text | |
| Author(s): |
Dallanora, Leandro M.
;
Castro, Ariel G.
;
da Costa Filho, Roberto I. T.
;
Rossi, Fabio D.
;
Lorenzon, Arthur F.
;
Luizelli, Marcelo C.
;
IEEE
Total Authors: 7
|
| Document type: | Journal article |
| Source: | 2022 27TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2022); v. N/A, p. 6-pg., 2022-01-01. |
| Abstract | |
In-band Network Telemetry (INT) is a novel network monitoring mechanism that improves fine-grained network visibility. Despite the increasing research efforts towards the orchestration of INT data acquisition, little has yet been done to efficiently collect telemetry data from the network considering monitoring applications requirements. In this paper, we introduce DyPro - a dynamic probing planning for INT. In particular, DyPro ensures that telemetry dependencies are always satisfied by monitoring application requirements. We theoretically formalize it as a Mixed-Integer Linear Programming (MILP) optimization model and propose a heuristic procedure to efficiently solve it. Results show that DyPro can outperform state-of-the-art solutions by up to 5x regarding the percentage of monitoring applications satisfied. (AU) | |
| FAPESP's process: | 20/05115-4 - Probing planning for In-band network telemetry |
| Grantee: | Fábio Diniz Rossi |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 20/05183-0 - SkyNet: towards smart data planes |
| Grantee: | Luciano Paschoal Gaspary |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/23092-1 - Telemetry orchestration in programmable data planes |
| Grantee: | Marcelo Caggiani Luizelli |
| Support Opportunities: | Regular Research Grants |